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m6503yp
/
m6503yp-lora

Text-to-Image
Diffusers
English
flux
lora
replicate
Model card Files Files and versions
xet
Community

Instructions to use m6503yp/m6503yp-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use m6503yp/m6503yp-lora with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("m6503yp/m6503yp-lora")
    
    prompt = "m6503yp"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
m6503yp-lora / samples
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m6503yp
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